Master Thesis in Causal AI Prediction of Power Electronics Reliability Using Manufacturing Data

Company Description

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.

The Robert Bosch GmbHis looking forward to your application!

Job Description

• As part of your assignment, you will carry out a literature review on the potential use of causal AI in electronics manufacturing.
• You will review process data sets and identify dependencies and redundancies.
• In addition, you will be in charge of the implementation of the model training and validation based on the dataset.
• Finally, you will identify the main factors influencing the reliability of electronic components.

Qualifications

• Education: Master studies in the field of Mechanical Engineering, Informatics, Electrical Engineering or comparable
• Experience and Knowledge: in Causal AI models, Python and MATLAB
• Personality and Working Practice: you are an independent, enthusiastic, trustworthy and meticulous person
• Languages: very good in English, German is a plus

Additional Information

Start: according to prior agreement
Duration: 6 months

Requirement for this thesis is the enrollment at university. Please attach your CV, transcript of records, examination regulations and if indicated a valid work and residence permit.

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.

Need further information about the job?
Jonas Gleichauf (Functional Department)
+49 711 811 37404

#LI-DNI

Summary

• Type: Full-time
• Function: Research